Stars
Open-source Windows and Office activator featuring HWID, Ohook, TSforge, KMS38, and Online KMS activation methods, along with advanced troubleshooting.
📜 A Novel Facial Emotion Recognition Model Using Segmentation VGG-19 Architecture
Real-time speech enhancement mobile app using Nested U-Net
GPT4All: Run Local LLMs on Any Device. Open-source and available for commercial use.
Explore different way to mix speech model(wav2vec2, hubert) and nlp model(BART,T5,GPT) together
An easy way to fine-tune Wav2Vec 2.0 for low-resource languages.
A Python library for audio data augmentation. Useful for making audio ML models work well in the real world, not just in the lab.
Attempt at tracking states of the arts and recent results (bibliography) on speech recognition.
Code for the paper Hybrid Spectrogram and Waveform Source Separation
Code Repository for Liquid Time-Constant Networks (LTCs)
Implementation of Echo State Networks, a special kind of Recurrent Neural Networks
Open-Unmix - Music Source Separation for PyTorch
PyTorch implementation of SimSiam https//arxiv.org/abs/2011.10566
Multi-class classification with focal loss for imbalanced datasets
Multi-class audio classification with MFCC features using CNN
A Python implementation of STFT and MFCC audio features from scratch
Audio classification via transfer learning
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
Tensorflow 2.0 implementation of the paper: A Fully Convolutional Neural Network for Speech Enhancement
A lightweight, dependency-free Python library (and command-line utility) for downloading YouTube Videos.
Improved speech enhancement with the Wave-U-Net, a deep convolutional neural network architecture for audio source separation, implemented for the task of speech enhancement in the time-domain.
speech enhancement\speech seperation\sound source localization
A tutorial for Speech Enhancement researchers and practitioners. The purpose of this repo is to organize the world’s resources for speech enhancement and make them universally accessible and useful.
The PyTorch-based audio source separation toolkit for researchers
Source code for the paper titled "Speech Denoising without Clean Training Data: a Noise2Noise Approach". Paper accepted at the INTERSPEECH 2021 conference. This paper tackles the problem of the hea…
[NeurIPS 2020] Official repository for the project "Listening to Sound of Silence for Speech Denoising"